I love the subtly by which you’re grafting in AI here!
Adding to the discussion, when learning a word, it’s important to grasp:
- It’s meaning in its context
- It’s general, primary, or as you put it "generic meaning
- But yet maybe too, any other additional meanings
A dictionary offers points 2 and 3 above, but not number 1.
Yet further beyond the traditional typography of a dictionary, you have several graphical treatments to work with in UI design.
Positioning, which you mentioned, is important; you’re putting the context-specific definition in first spot.
However, in addition to positioning, you also have other elements to work with…
Font weight: For instance, you could put the general/primary/generic meaning in bold.
There are other aspects to font emphasis, such as underlining and more.
There’s color too, not just of the font but of the background of the “cartouche” around the definition. For instance, you could instead of putting the contextual definition first, you could, much as in the method of a traditional dictionary, position the primary definition first, and then rank by usage yet go further aqnd bold the contextual definition and maybe even have a color border around the “cartouche” / “button” of that definition. At a glance, the primary definition could be grasped, as well as the nature of the contextual usage, as well as being reminded of any other definitions or usages of the word.
I’m not immediately suggesting what you should do, but going down a path of subtle cues is going to be the fastest way to incept the right ideas into the mind.
I’m also not suggesting all of this is immediately doable in mid-2024, but with the speed of change, it may be possible to roadmap things such as this already.
The historic dictionary copyright issues are a problem of the past. Rather than user contributed content being the only available means to bypass dictionary copyright issues, generative AI may be the means to not only surpass copyright issues but supersede the functionality of what a dictionary has historically provided for centuries.
Personally, I think dictionaries may go the way of sextants and serve only in the future role of a vintage collectable for the office.
Advanced AI behind the scenes with subtle cues at the surface may offer LingQ huge potential to differentiate in language learning. As a content-driven platform, you have the pole position.